Presentation

My research is based on a principle of researching the playlists of the most listened to women in 2016,2017 and 2018. This would serve to determine which style of music could be the most listened to with female singers.

Once analyzed the 3 lists we can say that the most listened to are: Beyoncé’s 7/11 in 2016, Selena Gomez’s Wolves in 2017 and finally in 2018, the most listened to song was Lady Gaga’s Shallow from the movie “a star has born”, although this one is exactly in the same points as Ellie Goulding’s Close To Me, and I chose Shallow because, in my opinion, it made much more impact than this second song.

After having these three songs, I’d like to compare them so that I can see how the most listened to women of the last 3 years have evolved to see if they follow any pattern or if it’s just a coincidence that these are the 3 most listened to.

Keep in mind that the order of all graphics if they are individual will be: 2016, 2017 and 2018. And if they are comparative it will be 2016 vs 2017, 2017 vs 2018 and if there is a third it will be 2016 vs 2018.

Chromagrams

Here we can see the pitch graphics of Wolves, 7/11 and Shallow respectively. As we can see, the first and second have something in common, but the third already deviates from the other ones.

Timewarping

Here we can observe the comparison of the time warping between the three songs. Clearly the 2016 cation and the 2018 cation have more in common than the 2017 song with any of the others.

Cepstrogram

observing now the ceptograms, we can observe that again, the songs of 2016- 2017 have some similarity, but that nevertheless the 2018 returns to break with the norm that they are similar.

comparation

However, we see that with respect to the structure of this analysis, Shallow looks more like Wolves than 7/11

2016 vs 2018

What do the most listened to songs sung by women in 2016 and 2018 have in common? As we can see in 2018 there was a more general tendency to music with a much more developed tempo (btw). And a much higher timbre in general. While 2016 resulted in a year in which the music was “quieter” and with a lower timbre.

2017 vs 2018

The ratio of the tempo between 2017 and 2018 is more equal than in 2016, we see the beginning of the trend. And at the same time the timbre is also much more equal than the previous year. Were we suffering an evolution towards the music of 2018?

Prediction vs. Truth

Here we can see a list of coincidences that could be found between the 2016, 2017, and 2018 lists.

Patrons

Here what we can observe is that there is a similarity between wolves, which represent the first two graphs, and 7/11 of Beyoncé which are the next two, however the shallow song of 2018 breaks a small pattern that we could have found.

Dendrogram

Here I decided to use the analysis to finally know if there is any pattern between the top 3 songs of each year. Could we get to some classification?

Conclusion

We have done an analysis tour through the most famous or listened songs of 2016, 2017 and 2018 in which we have tried to decipher a pattern to see if we could get to guess the “formula” of the success of these actions to create the next song that will make a boom. So is there a secret formula to create this super hit sung by a female artist? At some point we might come to believe that yes, however with form we are adding analysis and reviewing more features we can come to the conclusion that not really, there is no such magic formula.